LLM Testing Masterclass: Software QA for AI Language Models
LLM Testing Masterclass: Software QA for AI Language Models
Published 6/2025
Duration: 5h 14m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 1.69 GB
Genre: eLearning | Language: English
Published 6/2025
Duration: 5h 14m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 1.69 GB
Genre: eLearning | Language: English
Learn Professional AI Testing, LLM Validation, and RAG Application Testing from Scratch
What you'll learn
- LLM Testing Fundamentals
- DeepEval Framework
- RAG Testing
- Hallucination Detection
Requirements
- Basic Python knowledge and familiarity with AI/ML concepts
Description
What You'll Learn:
LLM Testing Fundamentals- Master functional and non-functional testing strategies for Large Language ModelsPython AI Testing- Build robust test suites using native Python for machine learning applicationsDeepEval Framework- Professional LLM evaluation and testing automation with industry-standard toolsRAG Testing- Test Retrieval Augmented Generation systems with Pinecone vector databasesHallucination Detection- Identify and prevent AI model hallucinations in production environmentsPerformance Testing- Optimize LLM response times, accuracy, and reliabilityProduction AI Testing- Real-world testing strategies for enterprise AI applications
Course Content:
Neural Network Architecture- Understand LLM foundations and testing requirementsComprehensive Testing Types- Functional testing (content processing, logical consistency) and non-functional testing (robustness, performance optimization)Python Testing Implementation- Hands-on coding from basic concepts to advanced frameworksDeepEval Mastery- Professional AI testing automation and continuous integrationReal-World Project- Build and test a complete shoe store RAG application with Pinecone integration
Perfect For:
AI Developersbuilding LLM-powered applications
Machine Learning Engineersimplementing production AI systems
QA Engineerstransitioning to AI testing roles
Python Developersworking with GPT, ChatGPT, and OpenAI APIs
Data Scientistsvalidating generative AI models
Software Engineersintegrating LLMs into existing applications
Prerequisites:
Basic Python knowledge and familiarity with AI/ML concepts
Why This Course:
Master the critical skills ofLLM testingandAI quality assurancethat companies desperately need. Learn industry-standard tools likeDeepEval, work with cutting-edge technologies likeRAGandvector databases, and build portfolio projects that demonstrate real-worldAI testing expertise.
Tags:#LLMTesting #AITesting #MachineLearningTesting #PythonAI #DeepEval #RAGTesting #VectorDatabase #Pinecone #AIValidation #MLTesting #GenerativeAI #NLPTesting #AIQualityAssurance #LLMEvaluation #AIAutomation
Who this course is for:
- QA Engineers transitioning to AI testing roles
- AI Developers building LLM-powered applications
- Data Scientists validating generative AI models
- Software Engineers integrating LLMs into existing applications
More Info